Another important point here about synthetic IO generation tools is that
you may in fact create a profile that does nothing to exercise the ZIL and
the slog device if you have one. This is where it might be well worthwhile
actually testing with something more realistic or with a profile that you
know for a fact will take correct path through the system, or by setting
sync=always on the dataset against which you are testing.
On Thu, Nov 14, 2013 at 10:00 AM, Keith Wesolowski <
Post by jason matthewsPost by Andrew GallowayAlso might be worth noting that how ZIL I/O looks to a log device is a
bit different than what a typical benchmark application is going to even be
capable of generating.
Post by jason matthews<engineer_speak>Synthetic benchmarks are always, well, synthetic but
they give us something to talk about in relative terms. These terms may or
may have relevance to a particular application.</engineer_speak>
Fortunately in this case it's relatively easy to test what you care
about. Create a pool using the device you want to evaluate as a slog,
then use a filesystem-based benchmark (synthetic or real) and measure
delivered performance. Use DTrace to observe the behaviour of the slog
under various filesystem workloads to determine where it is or is not
the limiting factor, what the device-level workload looks like, and how
the device itself is performing. Device-only synthetic benchmarks are
completely useless for slogs, and there's no reason to bother with them.
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